//localhost:4321/key-objective-2/agatashakira-the-aop-project-part-6/index.html The AOP project ► Key objective 2 Author: Shakira Agata This Jupyter Notebook describes the steps for the execution of Overrepresentation analysis (ORA) from the GSEApy package on datasets:GSE109565, E-MEXP-3583, E-MEXP-2599, GSE44729 and E-GEOD-69851. This notebook is subdivided into the following seven sections: Section 1: System preparation Section 2: Overrepresentation analysis (ORA) for dataset:GSE109565 Section 2.1: Generation of background genelist Section 2.2: Generation of the genelists Section 2.3: Execution of ORA Section 2.4: Saving plots of ORA Section 3: Overrepresentation analysis (ORA) for dataset:E-MEXP-2583 Section 3.1: Generation of background genelist Section 3.2: Generation of the genelists Section 3.3: Execution of ORA Section 3.4: Saving plots of ORA Section 4 Overrepresentation analysis (ORA) for dataset:E-MEXP-2599 Section 4.1: Generation of background genelist Section 4.2: Generation of the genelists Section 4.3: Execution of ORA Section 4.4: Saving plots of ORA Section 5: Overrepresentation analysis (ORA) for dataset:GSE44729 Section 5.1: Generation of background genelist Section 5.2: Generation of the genelists Section 5.3: Execution of ORA Section 5.4: Saving plots of ORA Section 6: Overrepresentation analysis (ORA) for dataset:E-GEOD-69851 Section 6.1: Generation of background genelist Section 6.2: Generation of the genelists Section 6.3: Execution of ORA Section 6.4: Saving plots of ORA Section 7: Metadata Section 1: System preparation In this section, the necessary packages are imported. Hugo en